Objectives This study examined public discourse and sentiment regarding older adults and COVID-19 on social media and assessed the extent of ageism in public discourse. Methods Twitter data (N = 82,893) related to both older adults and COVID-19 and dated from January 23 to May 20, 2020, were analyzed. We used a combination of data science methods (including supervised machine learning, topic modeling, and sentiment analysis), qualitative thematic analysis, and conventional statistics. Results The most common category in the coded tweets was “personal opinions” (66.2%), followed by “informative” (24.7%), “jokes/ridicule” (4.8%), and “personal experiences” (4.3%). The daily average of ageist content was 18%, with the highest of 52.8% on March 11, 2020. Specifically, more than 1 in 10 (11.5%) tweets implied that the life of older adults is less valuable or downplayed the pandemic because it mostly harms older adults. A small proportion (4.6%) explicitly supported the idea of just isolating older adults. Almost three-quarters (72.9%) within “jokes/ridicule” targeted older adults, half of which were “death jokes.” Also, 14 themes were extracted, such as perceptions of lockdown and risk. A bivariate Granger causality test suggested that informative tweets regarding at-risk populations increased the prevalence of tweets that downplayed the pandemic. Discussion Ageist content in the context of COVID-19 was prevalent on Twitter. Information about COVID-19 on Twitter influenced public perceptions of risk and acceptable ways of controlling the pandemic. Public education on the risk of severe illness is needed to correct misperceptions.
Objectives: To identify the interrelations between the trajectories of social isolation and dementia in older adults. Methods: Data came from the National Health and Aging Trends Study 2011–2018 surveys. Group-based dual trajectory modeling was used to examine trajectories and their interrelations. Results: Four trajectories of social isolation—rarely isolated (62.2%), steady increase (13.5%), steady decrease (7.4%), and persistently isolated (16.9%) and dementia risk—persistently low risk (80.4%), increasing with early onset (3.9%), increasing with late onset (4.5%), and persistently high risk (11.2%) emerged. Two-thirds of the low-risk dementia group were in the rarely isolated group. The high-risk dementia group had the most overlap with the decreasing social isolation group (47%), followed by the persistently isolated group (28%). Conclusions: Social isolation and dementia mostly evolved in the same direction. However, the pattern of associations between these trajectories is intricate and may be reversed among long-term dementia survivors.
This pilot study examined the feasibility of delivering internet-based cognitive behavioral therapy (iCBT) to homebound older adults with symptoms of depression who are recipients of non-medical home care. A feasibility open trial was conducted in the homes of homecare older adults (n=26). When possible, home care workers (HCWs) of older adults (n=13) were recruited to provide external support for iCBT usage. In cases where consistent assistance from the same HCW was not feasible, participants were given the choice of working on the program on their own (n=7) or receiving assistance from a research assistant (RA) (n=6). The mean therapy sessions completed was 4.7 out of 8 total sessions. The mean satisfaction rating was 7.7 (SD=2.9) and 86% would recommend the program to others with depressed mood. Significant reductions in depressive symptoms and anxiety symptoms and improvement on a quality of life measure were observed at post-test. The RA-supported group tended to have the best adherence, satisfaction, and reduction in depressive symptoms, followed closely by the HCW-supported group. The self-guided group had the lowest adherence, satisfaction, and symptom reduction. iCBT is a feasible and acceptable treatment modality for homebound older adults with depressive symptoms and potentially effective. Data from the participant exit interviews suggest a need for refining the existing treatment platform to better meet the needs and capabilities of homebound older adults. Future studies are warranted to examine treatment effectiveness as a function of HCW support.
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